Association of Sexually Transmitted Disease-Related Stigma With Sexual Health Care Among Women Attending a Community Clinic Program
Bibliographic record
Abstract
OBJECTIVES: The objective of this study was to assess the association of sexually transmitted disease (STD)-related stigma on sexual health care behaviors, including Papanicolaou smears and STD testing/treatment, among women from a high-risk community. METHODS: Descriptive statistics were used to assess the association of demographics, sexual and drug-related risk behaviors, and 3 measures of STD-stigma (internal, social, and tribal stigma, the latter referring to "tribes" of womanhood) with sexual health care in the past year. Pearson's chi-square test and Mann-Whitney test were used to assess significance. Multivariate logistic models were used to determine the association of STD-stigma with sexual health care after controlling for other factors. RESULTS: Lower internal stigma score was marginally associated with reporting an STD test in the past year [median score (interquartile range) for those reporting and not reporting an STD test were 0.79 (0.30-1.59) and 1.35 (0.67-1.93), respectively]. In an adjusted model, internal stigma retained a negative association with reporting of STD testing in the past year (adjusted odds ratio, 0.92; 95% confidence interval, 0.85-0.99). DISCUSSION: Most women had received a Papanicolaou smear in the past year, and none of the STD-stigma scales were associated with reporting this behavior. Internal stigma retained an association with not having any STD test or treatment. Although sexual stigma is a deeply rooted social construct, paying attention to how prevention messages and STD information are delivered may help remove one barrier to sexual health care.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".